Customers can't buy
what they can't find.
Filters break because half your products are missing the Bluetooth version. Search returns nothing because the attributes aren't filled in. SEO sinks because descriptions don't match the keywords people search now . ChatGPT doesn't recommend your products because the data it needs isn't there.
Your catalog is the bottleneck. And your team is Googling product specs, one product at a time.
The Product Enrichment Agent finds and repairs missing product data across thousands of SKUs.
You know this pain if
Your team is web-searching for product specs and copy-pasting them into your PIM, one product at a time .
A third of your catalog is missing attributes that block listings on Amazon, Allegro , or your own filter search.
Descriptions were written by 12 different people across 8 years. The voice is gone.
You sell in 6 languages. Half your catalog is translated. The other half is blocking expansion.
Suppliers send incomplete data and expect you to fix it.
You wanted to launch a new channel or market last quarter. The catalog wasn't ready.
What the agent
actually does
The agent reads your catalog, finds what's missing or weak, and fills it in — using a dedicated retrieval model that verifies across multiple sources.
The agent:
- finds missing attributes (Bluetooth version, material, weight, dimensions, compliance flags) and verifies them across sources
- standardizes values (so "Bluetooth 5.3," "BT 5.3," and "v5.3 BT" become one value matching your PIM)
- rewrites inconsistent descriptions in your brand voice, optimized for current SEO and GEO trends
- translates and localizes for every market you sell in
- unifies categories and photo standards
- flags products it can't verify with confidence — these go to your team
Week one
The agent audits your catalog against the rules you set. You see what's missing, what's inconsistent, and where revenue is blocked.
Month two
Your merchandiser reviews maybe one product in five. The rest go live on the standard you defined.
Month six
The agent monitors SEO and GEO trends, watches what changes in your category, and proposes description and title updates.
Then your merchandiser reviews and approves.
You approve. The agent ships.
Why not just use ChatGPT
ChatGPT can search the web. The problem is what it finds.
Ask for a product's Bluetooth version. You get an answer — sometimes right, sometimes from a forum, sometimes from a competitor's page. No verification, no cross-checking, no standardization against your PIM. Your team is still copy-pasting. Just from a less reliable source.
We built a dedicated retrieval model for product parameters. It cross-checks multiple sources, standardizes against your conventions, and returns a confidence score. 97% search success rate . The 3% it isn't sure about — it tells you.
Once the data is verified, the agent hands it to ChatGPT, Claude, Gemini, or Mistral — your pick — to write descriptions, metadata, and translations. Same models you trust. On data they can actually rely on.
Product enrichment for multi-national sporting goods marketplace.
The agent audits supplier catalogs and flags improvement opportunities at scale:
Missing attributes
automated email to supplier requesting the data
Weak or off-brand descriptions
rewritten by the agent, sent for human review
Photos off-standard for the category
flagged and reformatted
